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125 lines
3.5 KiB
125 lines
3.5 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#pragma once
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#include <algorithm>
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#include <string>
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#include <vector>
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#include "glog/logging.h"
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#include "paddle/fluid/framework/framework.pb.h"
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namespace paddle {
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namespace framework {
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// convert between std::vector and protobuf repeated.
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template <typename T>
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inline std::vector<T> RepeatedToVector(
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const google::protobuf::RepeatedField<T> &repeated_field) {
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std::vector<T> ret;
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ret.reserve(repeated_field.size());
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std::copy(repeated_field.begin(), repeated_field.end(),
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std::back_inserter(ret));
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return ret;
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}
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template <typename T, typename RepeatedField>
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inline void VectorToRepeated(const std::vector<T> &vec,
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RepeatedField *repeated_field) {
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repeated_field->Clear();
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repeated_field->Reserve(vec.size());
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for (const auto &elem : vec) {
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*repeated_field->Add() = elem;
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}
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}
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// Specialize vector<bool>.
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template <typename RepeatedField>
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inline void VectorToRepeated(const std::vector<bool> &vec,
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RepeatedField *repeated_field) {
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repeated_field->Clear();
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repeated_field->Reserve(vec.size());
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for (auto elem : vec) {
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*repeated_field->Add() = elem;
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}
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}
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class VarDesc {
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public:
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explicit VarDesc(const std::string &name) {
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desc_.set_name(name);
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// TODO(paddle-dev): Why default to lodtensor.
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desc_.mutable_type()->set_type(proto::VarType::LOD_TENSOR);
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}
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explicit VarDesc(const proto::VarDesc &desc) : desc_(desc) {}
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proto::VarDesc *Proto() { return &desc_; }
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const proto::VarDesc *Proto() const { return &desc_; }
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std::string Name() const { return desc_.name(); }
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void SetName(std::string name) { desc_.set_name(name); }
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void SetTensorDescNum(size_t num);
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size_t GetTensorDescNum() const;
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void SetShape(const std::vector<int64_t> &dims);
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void SetShapes(const std::vector<std::vector<int64_t>> &multiple_dims);
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std::vector<int64_t> GetShape() const;
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std::vector<std::vector<int64_t>> GetShapes() const;
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void SetDataType(proto::VarType::Type data_type);
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void SetDataTypes(
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const std::vector<proto::VarType::Type> &multiple_data_type);
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proto::VarType::Type GetDataType() const;
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std::vector<proto::VarType::Type> GetDataTypes() const;
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void SetLoDLevel(int32_t lod_level);
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void SetLoDLevels(const std::vector<int32_t> &multiple_lod_level);
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int32_t GetLoDLevel() const;
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std::vector<int32_t> GetLoDLevels() const;
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proto::VarType::Type GetType() const;
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void SetType(proto::VarType::Type type);
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bool Persistable() const { return desc_.persistable(); }
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void SetPersistable(bool persistable) { desc_.set_persistable(persistable); }
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private:
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const proto::VarType::TensorDesc &tensor_desc() const;
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std::vector<proto::VarType::TensorDesc> tensor_descs() const;
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proto::VarType::TensorDesc *mutable_tensor_desc();
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std::vector<proto::VarType::TensorDesc *> mutable_tensor_descs();
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proto::VarDesc desc_;
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};
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bool operator==(const VarDesc &left, const VarDesc &right);
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} // namespace framework
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} // namespace paddle
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